Annotating Principal Event Chain in Chinese Texts

  • Yu Chen
  • Han Ren
  • Jing Wan
  • Donghong Ji
  • Guozheng Xiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8922)

Abstract

Cohesion in discourse represents not only lexical context, but also event subsequence, both of which have a close relationship in text understanding. This paper proposes a discourse annotation scheme based on principle event chain, which is derived from lexical and event chain. In this scheme, lexical chains are clues for searching principle events, while principle events in those sentences that includes words that are also in lexical chains are linked to build a principle event chain. Examples show that principle event chain represents cohesion relations in discourse and ensure consistent annotation as well.

Keywords

Cohesion Discourse structure Lexical chain Principal event chain 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Halliday, M.A.K., Hasan, R.: Cohesion in English. Longman Group UK Limited, London (1976)Google Scholar
  2. 2.
    Halliday, M.A.K.: The Linguistic Study of Literary Texts. In: Lunt, H. (ed.) Proceedings of the Ninth International Congress of Linguistics, pp. 302–307. The Hague, Mouton (1964)Google Scholar
  3. 3.
    Mann, W., Thompson, S.: Rhetorical Structure Theory: A Theory of Text Organization. ISI/RS-87-190. Information Sciences Institute, University of Southern California (1987)Google Scholar
  4. 4.
    Prasad, R., Miltsakaki, E., Dinesh, N., et al.: The Penn Discourse Treebank 2.0 Annotation Manual (2007)Google Scholar
  5. 5.
    Yuan, Y.: On the hierarchical relation and semantic features of the thematic roles in Chinese. Chinese Teaching in the World (3), 10–22 (2008)Google Scholar
  6. 6.
    Zhang, M.: A Study on Discourse Coherence Based on Event Chain. Doctoral dissertation, Wuhan University (2013)Google Scholar
  7. 7.
    Zhao, Y., et al.: Research on Chinese Event Extraction. Journal of Chinese Information Processing (1), 4–8 (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yu Chen
    • 1
    • 2
  • Han Ren
    • 1
    • 4
  • Jing Wan
    • 1
  • Donghong Ji
    • 1
    • 3
  • Guozheng Xiao
    • 1
    • 2
  1. 1.Hubei Research Base of Language and Intelligent Information ProcessingWuhan UniversityWuhanChina
  2. 2.College of Chinese Language and LiteratureWuhan UniversityWuhanChina
  3. 3.Computer SchoolWuhan UniversityWuhanChina
  4. 4.School of Foreign Languages and LiteratureWuhan UniversityWuhanChina

Personalised recommendations